Preprints

  1. Chakraborty, A., Walsh, J. B., Strigari, L., Mallick, B. K., & Bhattacharya, A. (2024). Orthogonal calibration via posterior projections with applications to the Schwarzschild model.
  2. Chen, Y., Bhadra, A., & Chakraborty, A. (2024). Likelihood Based Inference in Fully and Partially Observed Exponential Family Graphical Models with Intractable Normalizing Constants.
  3. Xu, M., Chakraborty, A., & Xu, Y. (2024). A Bayesian Clustering Approach to Multi-Population Mortality Modeling and Forecasting.
  4. Chakraborty, A., Su, J., Jevtic, P., Gall, M., & Eschker, S. (2025). State Space Modeling of Mortgage Default Rates and Natural Hazards.
  5. Chakraborty, A., Xue, F. (2025). Empirical Bayes data integration for multi-response regression. (Submitted)

Publications

  1. Chakraborty, A., Ou, R., & Dunson, D. B. (2024). Bayesian inference on high-dimensional multivariate binary responses. Journal of the American Statistical Association, 119(548), 2560-2571.

  2. Chattopadhyay, S., Chakraborty, A., & Dunson, D. B. (2023). Nearest neighbor dirichlet mixtures. Journal of Machine Learning Research, 24(261), 1-46.

  3. Chakraborty, A., Ovaskainen, O., & Dunson, D. B. (2021). Bayesian semiparametric long memory models for discretized event data, Annals of Applied Statistics (just accepted)

  4. Chakraborty, A., Bhattacharya, A., & Mallick, B. K. (2019). Bayesian sparse multiple regression for simultaneous rank reduction and variable selection, Biometrika, 107(1), 205-221. arxiv

  5. Sarkar, A., Pati, D., Chakraborty, A., Mallick, B. K., & Carroll, R. J. (2018). Bayesian semiparametric multivariate density deconvolution, Journal of the American Statistical Association, 113(521), 401-416. arxiv

  6. Jain, P., Chakraborty, A., Pistikopoulos, E. N., & Mannan, M. S. (2018). Resilience-based process upset event prediction analysis for uncertainty management using Bayesian deep learning: application to a polyvinyl chloride process system, Industrial & Engineering Chemistry Research, 57(43), 14822-14836.

  7. Bhattacharya, A., Chakraborty, A., & Mallick, B. K. (2016). Fast sampling with Gaussian scale mixture priors in high-dimensional regression, Biometrika, 103(4), 985-991. arxiv